CONFIDENCE.NORM function
PRO
The CONFIDENCE.NORM function in Jspreadsheet Formulas Pro is a handy tool that provides the confidence interval for a population mean. In simpler terms, it tells you the range in which you can expect to find the average value of a population based on your sample data, assuming a normal distribution. This function is particularly useful in statistical analysis and forecasting, helping to predict future values with a certain level of confidence.
Documentation
Returns the confidence interval for a population mean, using a normal distribution.
Category
Statistical
Syntax
CONFIDENCE.NORM(alpha, standard_dev, size)
| Parameter | Description | 
|---|---|
alpha | 
The significance level used to compute the confidence level. Often represented as a decimal; for example, use 0.05 for a 95% confidence level. | 
standard_dev | 
The population standard deviation for the data range and is assumed to be known. Must be greater than 0. | 
size | 
The sample size. | 
Behavior
The CONFIDENCE.NORM function is used to compute the confidence interval for a population mean, using a normal distribution. The function requires three arguments: alpha, standard_dev, and size.
- If any of the arguments are empty cells, the function will return an error.
 - If any of the arguments are text, the function will attempt to convert the text to numbers. If the conversion is not possible, the function will return an error.
 - The function treats booleans as numbers, with TRUE being equivalent to 1 and FALSE being equivalent to 0.
 - If the 
standard_devargument is less than or equal to 0, or thesizeargument is less than or equal to 1, the function will return an error. - If the 
alphaargument is less than or equal to 0, or greater than or equal to 1, the function will return an error. - The function is not affected by the formatting of the cells.
 
Common Errors
| Error | Description | 
|---|---|
| #VALUE! | The function returns this error when it fails to convert text to numbers. | 
| #NUM! | The function returns this error when alpha is less than or equal to 0, or greater than or equal to 1; standard_dev is less than or equal to 0; or size is less than or equal to 1. | 
Best practices
- Make sure all input cells contain numeric values. Text or boolean values can lead to errors or unexpected results.
 - Be careful when choosing values for
 alpha,standard_dev, andsize. Incorrect values can lead to errors or significantly alter the results of the function.- Use appropriate decimal places in your input to ensure accuracy of the results.
 - Always check the validity of the data and the assumptions of normal distribution before using the
 CONFIDENCE.NORMfunction.
Usage
A few examples using the CONFIDENCE.NORM function.
| Formula                            | Result (approx.) | Explanation                                               |
|------------------------------------|------------------|-----------------------------------------------------------|
| CONFIDENCE.NORM(0.05, 1.5, 30)     | ≈ 0.5368         | 95% CI, std dev = 1.5, n = 30                             |
| CONFIDENCE.NORM(0.01, 2, 50)       | ≈ 0.7361         | 99% CI, larger margin of error due to higher confidence   |
| CONFIDENCE.NORM(0.10, 3, 20)       | ≈ 0.6929         | 90% CI, std dev = 3, n = 20                               | 
Interactive Spreadsheet Demo
<html>
<script src="https://jspreadsheet.com/v11/jspreadsheet.js"></script>
<script src="https://jsuites.net/v5/jsuites.js"></script>
<link rel="stylesheet" href="https://jsuites.net/v5/jsuites.css" type="text/css" />
<link rel="stylesheet" href="https://jspreadsheet.com/v11/jspreadsheet.css" type="text/css" />
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Material+Icons" />
<script src="https://cdn.jsdelivr.net/npm/@jspreadsheet/formula-pro/dist/index.min.js"></script>
<div id="spreadsheet"></div>
<script>
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
// Create a new spreadsheet
jspreadsheet(document.getElementById('spreadsheet'), {
  worksheets: [{
    data: [
    [
        "Alpha",
        "Std Dev",
        "Sample Size",
        "Confidence Interval"
    ],
    [
        0.05,
        1.5,
        30,
        "=CONFIDENCE.NORM(A2,B2,C2)"
    ],
    [
        0.01,
        2.3,
        50,
        "=CONFIDENCE.NORM(A3,B3,C3)"
    ],
    [
        0.1,
        0.8,
        25,
        "=CONFIDENCE.NORM(A4,B4,C4)"
    ]
]
  }]
});
</script>
</html>
import React, { useRef } from "react";
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/react";
import formula from "@jspreadsheet/formula-pro";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
// Set license
jspreadsheet.setLicense('MzliZTZjYzM4OGQ4NGM1YTZhMzFkZGVlZTJlMmUxYWNiZGE2MGE3MTVlNDBkMjk3Y2VlOGJiNDhiNGZiN2IxYTkzNzA2N2NiNzM1M2ZjNzY2ZGNkNTY4ODQ3Njc1NDk2YzBjZjU1OWFmZTVhZjNiZjlkNDBmYjgxMmRiZDZkN2IsZXlKamJHbGxiblJKWkNJNklpSXNJbTVoYldVaU9pSktjM0J5WldGa2MyaGxaWFFpTENKa1lYUmxJam94TnpZeU1qVTNNak15TENKa2IyMWhhVzRpT2xzaWFuTndjbVZoWkhOb1pXVjBMbU52YlNJc0ltTnZaR1Z6WVc1a1ltOTRMbWx2SWl3aWFuTm9aV3hzTG01bGRDSXNJbU56WWk1aGNIQWlMQ0p6ZEdGamEySnNhWFI2TG1sdklpd2lkMlZpWTI5dWRHRnBibVZ5TG1sdklpd2liRzlqWVd4b2IzTjBJbDBzSW5Cc1lXNGlPaUl6TkNJc0luTmpiM0JsSWpwYkluWTNJaXdpZGpnaUxDSjJPU0lzSW5ZeE1DSXNJbll4TVNJc0ltTm9ZWEowY3lJc0ltWnZjbTF6SWl3aVptOXliWFZzWVNJc0luQmhjbk5sY2lJc0luSmxibVJsY2lJc0ltTnZiVzFsYm5Seklpd2lhVzF3YjNKMFpYSWlMQ0ppWVhJaUxDSjJZV3hwWkdGMGFXOXVjeUlzSW5ObFlYSmphQ0lzSW5CeWFXNTBJaXdpYzJobFpYUnpJaXdpWTJ4cFpXNTBJaXdpYzJWeWRtVnlJaXdpYzJoaGNHVnpJaXdpWm05eWJXRjBJbDBzSW1SbGJXOGlPblJ5ZFdWOQ==');
// Set the extensions
jspreadsheet.setExtensions({ formula });
export default function App() {
    // Spreadsheet array of worksheets
    const spreadsheet = useRef();
    // Worksheet data
    const data = [
    [
        "Alpha",
        "Std Dev",
        "Sample Size",
        "Confidence Interval"
    ],
    [
        0.05,
        1.5,
        30,
        "=CONFIDENCE.NORM(A2,B2,C2)"
    ],
    [
        0.01,
        2.3,
        50,
        "=CONFIDENCE.NORM(A3,B3,C3)"
    ],
    [
        0.1,
        0.8,
        25,
        "=CONFIDENCE.NORM(A4,B4,C4)"
    ]
];
    // Render component
    return (
        <Spreadsheet ref={spreadsheet}>
            <Worksheet data={data} />
        </Spreadsheet>
    );
}
<template>
    <Spreadsheet ref="spreadsheet">
        <Worksheet :data="data" />
    </Spreadsheet>
</template>
<script>
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/vue";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
import formula from "@jspreadsheet/formula-pro";
// Set license
jspreadsheet.setLicense('MzliZTZjYzM4OGQ4NGM1YTZhMzFkZGVlZTJlMmUxYWNiZGE2MGE3MTVlNDBkMjk3Y2VlOGJiNDhiNGZiN2IxYTkzNzA2N2NiNzM1M2ZjNzY2ZGNkNTY4ODQ3Njc1NDk2YzBjZjU1OWFmZTVhZjNiZjlkNDBmYjgxMmRiZDZkN2IsZXlKamJHbGxiblJKWkNJNklpSXNJbTVoYldVaU9pSktjM0J5WldGa2MyaGxaWFFpTENKa1lYUmxJam94TnpZeU1qVTNNak15TENKa2IyMWhhVzRpT2xzaWFuTndjbVZoWkhOb1pXVjBMbU52YlNJc0ltTnZaR1Z6WVc1a1ltOTRMbWx2SWl3aWFuTm9aV3hzTG01bGRDSXNJbU56WWk1aGNIQWlMQ0p6ZEdGamEySnNhWFI2TG1sdklpd2lkMlZpWTI5dWRHRnBibVZ5TG1sdklpd2liRzlqWVd4b2IzTjBJbDBzSW5Cc1lXNGlPaUl6TkNJc0luTmpiM0JsSWpwYkluWTNJaXdpZGpnaUxDSjJPU0lzSW5ZeE1DSXNJbll4TVNJc0ltTm9ZWEowY3lJc0ltWnZjbTF6SWl3aVptOXliWFZzWVNJc0luQmhjbk5sY2lJc0luSmxibVJsY2lJc0ltTnZiVzFsYm5Seklpd2lhVzF3YjNKMFpYSWlMQ0ppWVhJaUxDSjJZV3hwWkdGMGFXOXVjeUlzSW5ObFlYSmphQ0lzSW5CeWFXNTBJaXdpYzJobFpYUnpJaXdpWTJ4cFpXNTBJaXdpYzJWeWRtVnlJaXdpYzJoaGNHVnpJaXdpWm05eWJXRjBJbDBzSW1SbGJXOGlPblJ5ZFdWOQ==');
// Set the extensions
jspreadsheet.setExtensions({ formula });
export default {
    components: {
        Spreadsheet,
        Worksheet,
    },
    data() {
        // Worksheet data
        const data = [
    [
        "Alpha",
        "Std Dev",
        "Sample Size",
        "Confidence Interval"
    ],
    [
        0.05,
        1.5,
        30,
        "=CONFIDENCE.NORM(A2,B2,C2)"
    ],
    [
        0.01,
        2.3,
        50,
        "=CONFIDENCE.NORM(A3,B3,C3)"
    ],
    [
        0.1,
        0.8,
        25,
        "=CONFIDENCE.NORM(A4,B4,C4)"
    ]
]
        return {
            data
        };
    }
}
</script>
import { Component, ViewChild, ElementRef } from "@angular/core";
import jspreadsheet from "jspreadsheet";
import * as formula from "@jspreadsheet/formula-pro";
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
@Component({
    standalone: true,
    selector: "app-root",
    template: `<div #spreadsheet></div>`
})
export class AppComponent {
    @ViewChild("spreadsheet") spreadsheet: ElementRef;
    // Worksheets
    worksheets: jspreadsheet.worksheetInstance[];
    // Create a new data grid
    ngAfterViewInit() {
        // Create spreadsheet
        this.worksheets = jspreadsheet(this.spreadsheet.nativeElement, {
            worksheets: [{
                data: [
    [
        "Alpha",
        "Std Dev",
        "Sample Size",
        "Confidence Interval"
    ],
    [
        0.05,
        1.5,
        30,
        "=CONFIDENCE.NORM(A2,B2,C2)"
    ],
    [
        0.01,
        2.3,
        50,
        "=CONFIDENCE.NORM(A3,B3,C3)"
    ],
    [
        0.1,
        0.8,
        25,
        "=CONFIDENCE.NORM(A4,B4,C4)"
    ]
]
            }]
        });
    }
}